This suggested a major update on the velocity of behavioral trait evolution.
Basically mice transmitted fear of cherry smell reliably into the very next generation (via epigenetics).
www.newscientist.com/article/dn24677-fear-of-a-smell-can-be-passed-down-several-generations.html#.VJRgr8ADo
This seems pretty important.
You can find a link yourself, it's not terribly difficult.
The New Scientist link is dead - the site is spitting out errors for me - so details are a bit hard to find.
But the keywords seem clear; searching 'epigenetics fear mice' in Google Scholar and restricting to 2014 (since this is 'news', after all) shows a number of hits which look likely. The first one is from January and sounds different, but the fifth one is a Nature blurb from December 2014 which is just right; it's paywalled so you can't see the whole thing, but they at least do provide a citation:
which takes us to http://www.nature.com/neuro/journal/v17/n1/abs/nn.3594.html where the abstract sounds correct:
Except this is from 2013. What's going on? Well, re-googling the New Scientist URL, Google snippets says it was published 'Dec 2, 2013', and several other hits were also published Dec 2013. So it seems OP is posting some old news. No matter, it's clearly the right paper.
Paywalled still, though. (The Readcube thing Nature just announced might work, but screw that!) Going back to Google Scholar: GS usually provides the fulltext if available as a little text link in the upper right corner of each hit, and in this case it was just a '[HTML]'. But I've noticed that sometimes they seem to privilege a paywall, and particularly for 'hot' topics with political implications (such as epigenetics) there will often be jailbroken or preprint PDFs on obscure domains which you need to click on 'All n versions' to get a listing of.
In this case, 'All 16 versions' immediately turns up a bunch of PDFs:
The first PDF link is broken, but the second one works and seems like a clean final version.
Had Google Scholar not found any PDFs, you could have retried in Google Search. They aren't always in sync, and in general search you may find a site which obscures a PDF download but still provides it. (There's a particularly frustrating sleep journal which is coded in awful ASP and provides downloads of all its papers, but in such an obscure Javascript - I think - way that Google Scholar has no idea about it; you can't even get a download link!)
And if that turned up nothing at all, you could then have gone to Libgen/Scihub, where the paper is already available. This PDF is then easy to copy over to PDF.yt, Dropbox, or you can just link Libgen.
Had the GS PDF links and Libgen both failed, you could have taken the dead PDF links and tried them in the Internet Archive to see if it caught a copy (it often has, if the PDF was visible enough for GS to learn it); if GS/Libgen/IA all fail, you could then try a request on Reddit, and if that failed too, you could try the LW paper request thread. (It's rare for all that to fail for any recent research; if it does, the topic is probably so obscure you will need to either start investing money or simply give up as not worth further effort.)
I hope that will help you find future papers. If you'd like more examples of effective searching, I have a long list of LW examples.